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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
09:00
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Distance-informed adversarial learning for metal artifact reduction
Daisuke Shigemori, Megumi Nakao (Kyoto Univ.) MI2023-62
In this study, we propose an adversarial learning framework that utilises distance information from metal to reduce CT m... [more] MI2023-62
pp.95-98
MI 2024-03-04
09:48
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
A trial for improvement in image quality of cone-beam CT images using conditional diffusion model
Naruki Murahashi, Mitsuhiro Nakamura, Megumi Nakao (Kyoto Univ.) MI2023-66
In this study, we propose a method to improve the image quality of CBCT images based on a conditional diffusion model th... [more] MI2023-66
pp.109-112
MI 2023-03-07
15:25
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] An artifact reduction technique for sparse-view CT using frame interpolation
Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-120
Sparse-view CT is an imaging technique that reconstructs images by reducing the number of projection data. Although spar... [more] MI2022-120
pp.190-191
CCS, NLP 2022-06-10
16:45
Osaka
(Primary: On-site, Secondary: Online)
Motion artifact reduction in EEG recordings using the multivariate temporal response function of acceleration signals with hyperparameter estimation
Hiroaki Umehara, Yusuke Yokota (NICT), Masato Okada (UTokyo/NICT), Yasuishi Naruse (NICT) NLP2022-24 CCS2022-24
The recent advances of wearable electroencephalography (EEG) systems with dry electrodes provide the realization of brai... [more] NLP2022-24 CCS2022-24
pp.123-128
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
16:00
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Application of LambdaNetwork learning long-range interactions between pixels to metal artifact detection
Daisuke Shigemori, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-27 BioX2022-27 IE2022-27 MI2022-27
Although deep learning-based image transformation has been attempted to be applied to metal artifact reduction, feature ... [more] SIP2022-27 BioX2022-27 IE2022-27 MI2022-27
pp.138-143
IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2021-06-03
16:30
Online Online A Study on Compression Artifacts Reduction by a Super-Resolution Network
Shion Komatsu, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2021-4 BioX2021-4 IE2021-4
Due to the huge amount of information in digital video signals, video compression is used to reduce the amount of inform... [more] SIP2021-4 BioX2021-4 IE2021-4
pp.15-20
MI 2021-03-17
13:30
Online Online Noise reduction method for sparse-view computed tomography using spatial frequency components
Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2020-95
Sparse-view CT, an imaging technique to reduce the number of projections, can reduce the radiation dose and scanning dur... [more] MI2020-95
pp.207-211
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] 2021-01-25
16:45
Online Online Comparison of ICA Algorithms in the Compressed Sensing EEG Measurement Framework Using OD-ICA
Wataru Okumura, Daisuke Kanemoto, Osamu Maida, Tetsuya Hirose (Osaka Univ) VLD2020-52 CPSY2020-35 RECONF2020-71
Compressed sensing gives reduction of power consumption for electroencephalogram (EEG) measurement system. However, ocul... [more] VLD2020-52 CPSY2020-35 RECONF2020-71
pp.75-79
MI 2020-09-03
14:25
Online Online Proposal of 3D Generative Adversarial Network for Improving Image Ouality of Cone-Beam CT Images
Takumi Hase, Megumi Nakao (Kyoto Univ.), Keoho Imanishi (e-Growth Co., Ltd), Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2020-29
Artifacts and defects included in Cone-beam CT (CBCT) images have become an obstacle in radiation therapy and surgery su... [more] MI2020-29
pp.51-56
MI 2020-01-30
11:00
Okinawa OKINAWAKEN SEINENKAIKAN High precision metal artifacts reduction in X-ray CT images by Deep Image Prior and sinogram normalization
Hiroya Satake, Tatsuya Yokota (NIT), Yoshito Otake, Yoshinobu Sato (NAIST), Hidekata Hontani (NIT) MI2019-103
In this paper, we propose a method to improve the normalization accuracy of sinogram by using DeepImage Prior to remove ... [more] MI2019-103
pp.169-174
MI, MICT [detail] 2019-11-05
16:10
Ibaraki Univ. of Tsukuba [Short Paper] Proposal of fault-tolerant CT image reconstruction using Nonlocal Total Variation and its application to metal artifact reduction
Kazuki Chigita (Univ. Tsukuba), Jian Dong (TUTE), Yongchae Kim, Hiroyuki Kudo (Univ. Tsukuba) MICT2019-37 MI2019-64
When some abnormal data is included in the projection data, the normal image reconstruction method increases the influen... [more] MICT2019-37 MI2019-64
pp.55-56
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Speaker verification based on non-linear bandwidth extension considering aliasing artifacts for super-wideband applications
Haruna Miyamoto, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2017-110 SIP2017-119 SP2017-93
This paper has two aims that are to propose a novel bandwidth extension (BWE) method considering aliasing artifacts, and... [more] EA2017-110 SIP2017-119 SP2017-93
pp.51-55
MBE, NC
(Joint)
2018-03-13
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. Real-Time Artifact Reduction Using Sliding-Window Analysis for Real Data: A Functional Near-Infrared Spectroscopy Study
Yuta Oda, Takanori Sato, Isao Nambu, Yasuhiro Wada (NUT) MBE2017-85
Functional near-infrared spectroscopy (fNIRS) is an effective neuroimaging technique, which facilitates its real-time ap... [more] MBE2017-85
pp.29-34
EA 2012-08-01
15:20
Miyagi Tohoku Gakuin University Reduction of unmasked noise in scalable audio coding
Akio Ando (NHK) EA2012-56
In this paper, we study a method of transmitting and coding three-dimensional (3D) audio signal including 22.2 multichan... [more] EA2012-56
pp.13-18
NC, IPSJ-BIO [detail] 2011-06-24
11:35
Okinawa 50th Anniversary Memorial Hall, University of the Ryukyus A localized eye-blink artifact removal method focusing on reduction of EEG information loss
Hirokazu Kawaguchi, Tetsuo Kobayashi (Kyoto Univ.) NC2011-11
One of the major artifacts for electroencephalogram (EEG) measurements are eye-blink activities. Various methods have be... [more] NC2011-11
pp.97-100
IPSJ-AVM, CS, IE, ITE-BCT [detail] 2009-12-08
09:00
Aichi Nagoya Univ. Flicker Reduction for Motion-JPEG 2000 Using Wavelet Shrinkage
Atsushi Tanaka, Xi Zhang (Univ. of Electro-Comm.) CS2009-60 IE2009-124
Motion-JPEG 2000 has been adopted in Digital Cinema System Specification v.3 by DCI (Digital Cinema Initiative, LLC).Sin... [more] CS2009-60 IE2009-124
pp.53-58
NC, MBE
(Joint)
2009-03-12
14:15
Tokyo Tamagawa Univ. a Noise Reduction Algorithm for Dual-Energy X-ray CT under Low-Dose Enviolonments
Yoichi Yamazaki, Naohiro Toda (Aichi Pref. Univ.) MBE2008-113
Dual-energy computed tomography(DECT) provides specific information on the object.
However, DECT has drawback that its ... [more]
MBE2008-113
pp.101-106
MI 2009-01-20
14:30
Overseas National Taiwan University [Poster Presentation] Comparing correcting methods of Brain Artifact by Cardiac Pulsation In Q-ball Imaging
Yen-Wei Cheng (National Taiwan Univ.), Ming-Chung Chou (National Taiwan Univ./Tri-Service General Hospital), Susumu Mori (Johns Hopkins Univ.), Hsiao-Wen Chung (National Taiwan Univ./Tri-Service General Hospital) MI2008-131
We propose three methods to compensate for the damaged images due to cardiac pulsation artifact in brain to improve the ... [more] MI2008-131
pp.325-327
MI 2008-01-25
16:35
Okinawa Naha-Bunka-Tenbusu Reduction of Ring Artifacts in Cone-Beam CT images
Guifang Duan, Yen-Wei Chen (Ritsumeikan Univ.), Xian-Hua Han (Ritsumeikan Univ./Central South Univ. of Forestry & Tech.), Akinori Fujita, Ken Hirooka, Yoshihiro Ueno (Shimadzu) MI2007-105
Cone-beam CT (CBCT) scanners are based on volumetric tomography, using a 2D extended digital array providing an area det... [more] MI2007-105
pp.227-233
IPSJ-AVM, MoNA 2007-07-19
16:05
Niigata Niigata Univ. Reduction in Perceptual Distortion for Wavelet Transform-Based Video Decoding
Yutaka Murata, Hisakazu Kikuchi, Shogo Muramatsu (Niigata Univ.)
Motion JPEG2000 is a video coding system on the basis of wavelet transforms. It has many advantages such as easy editing... [more] MoMuC2007-30
pp.31-36
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